Shayok Chakraborty

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Active Batch Sampling for Multi-label Classification with Binary User Feedback.

[BibT_eX]

[DOI]

Debanjan Goswami

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Active Learning for Video Classification with Frame Level Queries.

[BibT_eX]

[DOI]

Debanjan Goswami

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2022

Deep Active Learning with Range Feedback for Facial Age Estimation.

[BibT_eX]

[DOI]

Aditya R. Bhattacharya

Proceedings of the International Joint Conference on Neural Networks, 2022

Active Sampling for Text Classification with Subinstance Level Queries.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

High-resolution home location prediction from Twitter activities using consensus deep learning.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2021

Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Deterministic Mini-batch Sequencing for Training Deep Neural Networks.

[BibT_eX]

[DOI]

Subhankar Banerjee

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Domain Adaptation for Regression.

[BibT_eX]

[DOI]

Proceedings of the Development and Analysis of Deep Learning Architectures, 2020

Active Learning for Multimedia Computing: Survey, Recent Trends and Applications.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Active Transfer Learning for Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications.

[BibT_eX]

[DOI]

Subhankar Banerjee

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's Disease.

[BibT_eX]

[DOI]

Alexander M. Yuan

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Active Learning with n-ary Queries for Image Recognition.

[BibT_eX]

[DOI]

Aditya Bhattacharya

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Deepsub: A Novel Subset Selection Framework for Training Deep Learning Architectures.

[BibT_eX]

[DOI]

Subhankar Banerjee

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Generic Active Learning Framework for Class Imbalance Applications.

[BibT_eX]

[DOI]

Aditya R. Bhattacharya

Ji Liu

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Distributed Active Learning for Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease.

[BibT_eX]

[DOI]

Vishwas G. Torvi

Aditya Bhattacharya

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Multi-Label Deep Active Learning with Label Correlation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2017

Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies.

[BibT_eX]

[DOI]

Int. J. Semantic Comput., 2017

Hierarchical learning for automated malware classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Military Communications Conference, 2017

Deep active learning for image classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Hashing Network for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Jose Eusebio

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Troy McDaniel

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Social Interaction Assistant: A Person-Centered Approach to Enrich Social Interactions for Individuals With Visual Impairments.

[BibT_eX]

[DOI]

Troy McDaniel

IEEE J. Sel. Top. Signal Process., 2016

Person-Centered Multimedia Computing: A New Paradigm Inspired by Assistive and Rehabilitative Applications.

[BibT_eX]

[DOI]

Troy McDaniel

Ramin Tadayon

IEEE Multim., 2016

Multimodal emotion recognition using deep learning architectures.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Smart Stadium for Smarter Living: Enriching the Fan Experience.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Multimedia, 2016

Nonlinear Embedding Transform for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Transfer of multimodal emotion features in deep belief networks.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Adaptive Batch Mode Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds.

[BibT_eX]

[DOI]

Qian Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Conformal predictions for information fusion - A comparative study of p-value combination methods.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2015

Adaptive Keyframe Selection for Video Summarization.

[BibT_eX]

[DOI]

Omesh Tickoo

Ravi Iyer

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Towards Distributed Video Summarization.

[BibT_eX]

[DOI]

Omesh Tickoo

Ravishankar R. Iyer

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification.

[BibT_eX]

[DOI]

Adepu Ravi Sankar

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013

Batch Mode Active Learning for Multimedia Pattern Recognition.

[BibT_eX]

[DOI]

PhD thesis, 2013

Generalized batch mode active learning for face-based biometric recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

PyCP: An Open-Source Conformal Predictions Toolkit.

[BibT_eX]

[DOI]

Aaron Baker

Matthew Yanez

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Active Matrix Completion.

[BibT_eX]

[DOI]

Jiayu Zhou

Ian Davidson

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Batch Mode Active Learning for Multimedia Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012

2011

Optimal batch selection for active learning in multi-label classification.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models.

[BibT_eX]

[DOI]

Rita Chattopadhyay

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Active Batch Selection for Fuzzy Classification in Facial Expression Recognition.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Dynamic batch mode active learning.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Dynamic Batch Mode Active Learning via L1 Regularization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Learning from summaries of videos: Applying batch mode active learning to face-based biometrics.

[BibT_eX]

[DOI]

Vineeth N. Balasubramanian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Generalized Query by Transduction for online active learning.

[BibT_eX]

[DOI]

Vineeth Balasubramanian

Vineeth N. Balasubramanian

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008

Multiple cue integration in transductive confidence machines for head pose classification.

[BibT_eX]

[DOI]